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Sara Elkerdawy

3 papers hereh-index 8387 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20172020
collaborators

3 papers

cs.CV2020

To Filter Prune, or to Layer Prune, That Is The Question

Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh +2

Recent advances in pruning of neural networks have made it possible to remove a large number of filters or weights without any perceptible drop in accuracy. The number of parameter…

cs.CV2019

Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning

Sara Elkerdawy, Hong Zhang, Nilanjan Ray

Convolutional neural networks (CNNs) have emerged as the state-of-the-art in multiple vision tasks including depth estimation. However, memory and computing power requirements rema…

stat.ML2017

Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges

Mennatullah Siam, Sara Elkerdawy, Martin Jagersand +1

Semantic segmentation was seen as a challenging computer vision problem few years ago. Due to recent advancements in deep learning, relatively accurate solutions are now possible f…

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